Curriculum

The Master of Information and Data Science is designed to be completed in 20 months, but other options are available to complete the program on an accelerated basis. You will complete 27 units of coursework over three to five terms1. Courses are divided into foundation courses (15 units), advanced courses (9 units), and a synthetic capstone (3 units). You will also complete an immersion at the UC Berkeley campus.

 

Foundation Courses (15 units)

Research Design and Application for Data and Analysis
Research Design and Application for Data and Analysis
3 UNITS
Exploring and Analyzing Data
Exploring and Analyzing Data
3 UNITS
Storing and Retrieving Data
Storing and Retrieving Data
3 UNITS
Applied Machine Learning
Applied Machine Learning
3 UNITS
Data Visualization and Communication
Data Visualization and Communication
3 UNITS

 

Advanced Courses (9 units)

Experiments and Causal Inference
Experiments and Causal Inference
3 UNITS
Legal, Policy, and Ethical Considerations for Data Scientists
Behind the Data: Humans and Values
3 UNITS
Scaling Up! Really Big Data
Scaling Up! Really Big Data
3 UNITS
Applied Regression and Time Series Analysis
Applied Regression and Time Series Analysis
3 UNITS
Machine Learning at Scale
Machine Learning at Scale
3 UNITS

 

Capstone Course (3 units)

Synthetic Capstone Course
Synthetic Capstone Course
3 UNITS

Request more information about datascience@berkeley, or speak with an Admissions Counselor at 855-678-MIDS.

1 Students may take a maximum of 9 units each term.

Learn more about datascience@berkeley